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for scientific and security applications; (ii) ML model optimization for inference speed and deployment for real-time analysis; and (iii) AI model training for analog in-memory computing. The position provides
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to launch his/her trajectory journey in basic scientific research. Supported by a new RO1 from the NIDDK, the increased prevalence of obesity in the US population continues to drive greater risk for
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. Proficiency in statistical analysis and bioinformatics tools. Excellent communication and teamwork skills. Preferences: Preferences: Familiarity with plant disease epidemiology and risk map development
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
efforts focused on empirically defined risk groups). All of our work is embedded in empiricism and there are multiple data science efforts underway at UNC, in NC, and in Sweden. The position will be
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) cancer screening modeling, (2) microsimulation, (3) decision analysis/health policy modeling, (4) survival data under competing risks, (5) dynamic risk prediction modeling (e.g., landmark model), and (6
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, potentially increasing of adverse birth outcomes. The post-doctoral fellow, supervised by Drs. Amir Sapkota and Michel Boudreaux will perform statistical analysis linking exposure wildfire related air pollution
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risk for substance use disorders. The initial temporary appointment is for one year, with the possibility of extension for one additional year. Primary job functions include: Planning and conducting
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Department Computer Science Position Summary The successful candidate for this position will have the chance to conduct state-of-the-art research and development on topics related to dialogue-based tutoring
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fluids, design novel numerical simulation and optimal control schemes, and provide new means for risk management. This project mainly focuses on the analysis and optimal control of the underlying SPDE and
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the mission of CBMH: “to bridge existing departments, levels of analysis, and disciplinary boundaries and focus on areas of clinical and translational neuroscience that are broader than any single condition